中国功能性脂质的先进研究

IF 1.9 4区农林科学 Q3 CHEMISTRY, APPLIED

Journal of the American Oil Chemists Society Pub Date : 2024-07-31 DOI:10.1002/aocs.12890

Xuebing Xu, Tong Wang, Wei Wei

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Advanced research on functional lipids in China

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来源期刊

Journal of the American Oil Chemists Society 工程技术-食品科技

CiteScore

4.10

自引率

5.00%

发文量

审稿时长

2.4 months

期刊介绍： The Journal of the American Oil Chemists’ Society (JAOCS) is an international peer-reviewed journal that publishes significant original scientific research and technological advances on fats, oils, oilseed proteins, and related materials through original research articles, invited reviews, short communications, and letters to the editor. We seek to publish reports that will significantly advance scientific understanding through hypothesis driven research, innovations, and important new information pertaining to analysis, properties, processing, products, and applications of these food and industrial resources. Breakthroughs in food science and technology, biotechnology (including genomics, biomechanisms, biocatalysis and bioprocessing), and industrial products and applications are particularly appropriate. JAOCS also considers reports on the lipid composition of new, unique, and traditional sources of lipids that definitively address a research hypothesis and advances scientific understanding. However, the genus and species of the source must be verified by appropriate means of classification. In addition, the GPS location of the harvested materials and seed or vegetative samples should be deposited in an accredited germplasm repository. Compositional data suitable for Original Research Articles must embody replicated estimate of tissue constituents, such as oil, protein, carbohydrate, fatty acid, phospholipid, tocopherol, sterol, and carotenoid compositions. Other components unique to the specific plant or animal source may be reported. Furthermore, lipid composition papers should incorporate elements of yeartoyear, environmental, and/ or cultivar variations through use of appropriate statistical analyses.